AI-Powered NOC Operations

Stop Drowning in Alerts.
Start Resolving Incidents.

NOC AI Operator uses intelligent correlation to turn hundreds of noisy alerts into actionable incidents — in seconds, not hours.

83x Faster MTTR
94% Noise Reduction
<30s Time to Triage
Scroll to explore
The Problem

Traditional NOC is Broken

Your engineers spend more time triaging alerts than fixing problems. One service failure generates a cascade of noise across every monitoring tool.

73%
of alerts are noise

Duplicate, redundant, or low-priority alerts that waste engineer time and attention.

45m
average time to triage

Engineers manually correlate alerts across CloudWatch, PagerDuty, Alertmanager, and Slack.

62%
duplicate tickets created

Multiple engineers create tickets for the same root cause, fragmenting the response.

3am
alert fatigue wake-ups

On-call engineers get paged for every alert, most of which are symptoms, not causes.

What One Failure Looks Like

A single payment-svc deployment triggers 127 alerts across 4 monitoring tools.

CloudWatch
Alertmanager
PagerDuty
OpsGenie
Root Causes

127 alerts3 root causes. That's what AI correlation does.

Live Demo

See It In Action

Watch NOC AI Operator handle a real alert storm in real-time. Choose your view.

00:00 Alerts: 0
Traditional NOC
Open: 0 Ack'd: 0 Tickets: 0
Waiting for on-call engineer to wake up...
VS
NOC AI Operator
Grouped: 0 Incidents: 0 Resolved: 0
AI Engine ready. Monitoring...
noc-ai-operator — bash
How It Works

Four Steps to Quiet Nights

NOC AI Operator processes your alert storm in under 30 seconds.

01

Ingest

Connects to CloudWatch, Alertmanager, PagerDuty, OpsGenie, Datadog, and more. All alerts flow into one stream.

02

Deduplicate

AI eliminates duplicate and redundant alerts. 127 noisy alerts become 42 unique signals.

03

Correlate

Groups related alerts into incidents and identifies the root cause across services and infrastructure.

04

Act

Creates Jira tickets with full context, suggests runbooks, and can auto-execute remediation playbooks.

Comparison

Traditional NOC vs NOC AI

Metric Traditional NOC AI
Time to Triage15-45 min< 30 sec
Alert Noise ReductionManual (0%)94% automatic
Duplicate Tickets5-20 per storm0
Root Cause IdentificationManual investigationAutomatic
RemediationManual runbooksAuto-executed
3am Engineer Wake-upsEvery stormOnly when needed
Context in TicketsCopy-paste fragmentsFull correlation graph
Cross-tool CorrelationTribal knowledgeAI pattern matching
ROI

The Numbers Speak for Themselves

Based on a 5-person NOC team handling 500 alerts/week.

0x
Faster MTTR

From 47 minutes to 34 seconds average resolution time.

0%
Noise Eliminated

Only 3 actionable incidents from 127 total alerts.

$0K
Annual Savings

Reduced MTTR, eliminated duplicates, prevented revenue loss.

0
False Wake-ups

Engineers only get paged when human intervention is truly needed.

Integrations

Works With Your Stack

No rip-and-replace. Connects to the tools you already use.

Monitoring Sources

AWS CloudWatch Prometheus Alertmanager PagerDuty OpsGenie Datadog New Relic

Ticketing & Chat

Jira Linear ServiceNow Slack MS Teams GitHub Issues

Infrastructure

Kubernetes AWS GCP Azure Terraform Ansible

Same Storm.
Different Outcome.

Stop waking up engineers at 3am for duplicate alerts.
Let AI handle the noise so your team can focus on what matters.

Get Started
noc.headbangtech.com